Effect of voluntary exercise on gene expression in subcutaneous breast cancer in mice
RNA-seq (gene expression) · mouse · 10 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 5 × E vs 5 × NEGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Exercise-downregulated CD300E acted as a negative prognostic implication and tumor-promoted role in pan-cancerFrontiers in immunology · 2024
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE272213_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1135700 and SRA study SRP519803. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8395840 E1 E
- GSM8395841 E2 E
- GSM8395842 E3 E
- GSM8395843 E4 E
- GSM8395844 E5 E
- GSM8395845 NE1 NE
- GSM8395846 NE2 NE
- GSM8395847 NE3 NE
- GSM8395848 NE4 NE
- GSM8395849 NE5 NE
- GSE283692 A ketogenic diet and voluntary exercise modify the sciatic nerve and gastrocnemius transcriptome in diet-induced obese mice 96 samples shares voluntary, exercise
- GSE282249 Cryoablation of primary breast cancer tumors induces a systemic abscopal effect altering TIME (Tumor-Immune Micro-Environment) in distant tumors. 60 samples shares breast
- GSE278570 Neutrophils physically interact with tumor cells to form a signaling niche promoting breast cancer aggressiveness 309 samples shares breast
- GSE293819 Monitoring systemic immune responses to checkpoint inhibition in breast cancer reveals host responses and mechanisms of resistance 142 samples shares breast
- GSE292013 Impact of PD-L1 overexpression on immune checkpoint inhibitor efficacy in triple-negative breast cancer using a 4T1 murine model. 12 samples shares breast
- GSE278003 Single cell RNA sequencing of CD45+ immune cells from tumor and tumor-adjacent mammary adipose tissue in a postmenopausal breast cancer model of lean, obese, and weight loss Trem2+/+ and Trem2-/- mice 92 samples shares breast
- GSE325774 WDR82 suppresses breast cancer progression by inhibiting ERK-driven chemokine expression and neutrophil infiltration 9 samples shares breast
- GSE253444 Combining TIGIT blockade with MDSC inhibition hinders breast cancer bone metastasis by activating anti-tumor immunity 55 samples shares breast
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.